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How modern market makers stay ahead in volatile markets
21 July, 2025
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KDB-X Public Preview: The next-gen kdb+ is here
16 July, 2025
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Supercharge hardware evaluation with KX Nano: An open-source benchmark tool
14 July, 2025
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Market data magic with kdb Insights SDK
27 June, 2025
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Faster than real time: Scaling AI to predict, decide, and act before markets move
26 June, 2025
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Tick architecture: simplicity and speed, the kdb+ way
25 June, 2025
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The latency trap: Why FX analytics fail when it matters most
20 June, 2025
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Mastering memory mapping in kdb+
19 June, 2025
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KX named in AIFinTech100 list for solving AI’s real-time data challenges in financial services
18 June, 2025
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Simultaneous search: How agentic AI searches smarter, not harder
16 June, 2025
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How high-context analytics sharpen trading decisions and reduce risk
12 June, 2025
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Crypto analytics at scale: How B2C2 trades smarter in a 24/7 market
5 June, 2025
Benchmarking KDB-X and KDB-X Python against Polars, DuckDB, ClickHouse, and Pandas
What the KX NYSE TAQ benchmark numbers actually say about memory need, query expressiveness and speed, and what we learned implementing 84 capital markets queries in six engines